Overview

We are looking for a highly experienced Senior AI/ML Engineer with 10+ years of hands-on experience in Artificial Intelligence and Machine Learning.

Responsibilities

• Design, develop, and deploy advanced AI/ML solutions for enterprise applications.
• Build and optimize Generative AI applications using LLMs, GPT models, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.
• Develop, train, fine-tune, and evaluate deep learning models using TensorFlow and/or PyTorch.
• Design and implement NLP solutions using BERT, GPT, and other transformer-based architectures.
• Develop intelligent AI agents capable of reasoning, planning, tool usage, and autonomous task execution.
• Perform feature engineering, model selection, hyperparameter tuning, and performance optimization.
• Build scalable ML pipelines and deploy models using AWS SageMaker, Azure Machine Learning, or Google Cloud Vertex AI.
• Implement end-to-end MLOps practices including model versioning, CI/CD, automated testing, monitoring, and production deployment.
• Manage model lifecycle using MLflow for experiment tracking, model registry, and deployment.
• Utilize Hugging Face libraries and pretrained models for NLP and Generative AI use cases.
• Collaborate with data engineers, software engineers, product managers, and business stakeholders to deliver AI-driven solutions.

Qualifications

• 10+ years of experience in Artificial Intelligence and Machine Learning.
• Expert-level programming proficiency in Python.
• Strong expertise in Deep Learning, including:
• Convolutional Neural Networks (CNN).
• Recurrent Neural Networks (RNN).
• Transformer architectures.
• Extensive experience with Generative AI, including:
• Large Language Models (LLMs).
• GPT models.
• Retrieval-Augmented Generation (RAG).
• Prompt engineering.
• AI agent frameworks.
• Hands-on experience developing Agentic AI solutions.
• Strong experience with TensorFlow and/or PyTorch.
• Work on innovative, high-impact projects with leading global clients.
• Exposure to modern technologies, scalable systems, and cloud-native architectures.
• Continuous learning and upskilling opportunities through internal and external programs.
• Supportive and collaborative work culture with flexible policies.
• Competitive salary and comprehensive benefits package.
• Free healthcare coverage for employees and dependents.